Toluca Lake, CA, United States of America

Dhonam Pemba

USPTO Granted Patents = 2 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2018-2019

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2 patents (USPTO):Explore Patents

Title: Dhonam Pemba: Innovator in Speech Recognition and Neural Technology

Introduction

Dhonam Pemba is a notable inventor based in Toluca Lake, CA (US). She has made significant contributions to the fields of speech recognition and neural technology, holding 2 patents that showcase her innovative spirit and technical expertise.

Latest Patents

One of her latest patents is titled "System and method for automatic speech recognition using selection of speech models based on input characteristics." This invention discloses a method and system that obtain speech data from a speaker through a microphone or audio upload. The system selects the most suitable speech recognition model to decode the input speech and continuously updates these models based on the user's speech abilities.

Another significant patent is for a "Multielectrode array and method of fabrication." This invention presents a multielectrode array with a fluidic channel, allowing for scalability, reproducibility, and precise dimension control through a lithography-dependent process. One embodiment of this invention provides a microelectrode designed as a neural implant, which can connect to a fluidic channel that delivers growth factors and/or drugs.

Career Highlights

Dhonam Pemba has worked with several prominent organizations, including Kadho, Inc. and the University of California. Her work in these institutions has allowed her to further her research and development in innovative technologies.

Collaborations

Throughout her career, Dhonam has collaborated with notable individuals such as Kaveh Azartash and William C. Tang. These collaborations have contributed to her success and the advancement of her inventions.

Conclusion

Dhonam Pemba is a pioneering inventor whose work in speech recognition and neural technology continues to impact the field. Her patents reflect her commitment to innovation and her ability to address complex challenges through technology.

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